Machine learning is applied in Neurocare in several ways, including diagnosis, treatment, and research. For instance, ML algorithms can analyze brain imaging to detect anomalies that might be indicative of conditions like Alzheimer's disease or Parkinson's disease. They can also predict the progression of neurological disorders and personalize treatment plans based on patient data.
